Model comparison
Deepseek Coder v2 vs GPT-5.3 Chat
GPT-5.3 Chat is the stronger model overall, scoring 42.8 to 35.9 on the Noometry Index.
Last verified . 17 shared benchmarks.
DeepSeekSummary
- They share 17 benchmarks with published results for both. Deepseek Coder v2 scores higher in 0 categories and GPT-5.3 Chat in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GPT-5.3 Chat leads 63.1 to 38.2.
- Deepseek Coder v2 has downloadable open weights; the other is API-only.
Side by side
| Deepseek Coder v2 | GPT-5.3 Chat | |
|---|---|---|
| Provider | DeepSeek | OpenAI |
| Noometry Index | 35.9 | 42.8 |
| Released | 2024-06-17 | 2026-03-03 |
| Weights | Open | Proprietary |
| Context window | — | 128K |
| Max output | — | 16K |
| Input $ / M tokens | — | $1.75 |
| Output $ / M tokens | — | $14 |
| Results tracked | 24 | 18 |
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Category by category
Coding GPT-5.3 Chat leads
Deepseek Coder v2: 38.1 (#183), GPT-5.3 Chat: 41.4 (#124)
| Benchmark | Deepseek Coder v2 | GPT-5.3 Chat |
|---|---|---|
| LMArena Coding | 1251 | 1408 |
| BigCodeBench Instruct | 48.2% | — |
| BigCodeBench Complete | 59.7% | — |
| HumanEval+ | 82.3% | — |
| MBPP+ | 75.1% | — |
Reasoning GPT-5.3 Chat leads
Deepseek Coder v2: 23.6 (#176), GPT-5.3 Chat: 28.5 (#102)
| Benchmark | Deepseek Coder v2 | GPT-5.3 Chat |
|---|---|---|
| LMArena Hard Prompts | 1207 | 1399 |
| WinoGrande | 83.7% | — |
Math GPT-5.3 Chat leads
Deepseek Coder v2: 34.9 (#190), GPT-5.3 Chat: 38.2 (#142)
| Benchmark | Deepseek Coder v2 | GPT-5.3 Chat |
|---|---|---|
| LMArena Math | 1241 | 1389 |
| GSM8K | 94.5% | — |
Knowledge GPT-5.3 Chat leads
Deepseek Coder v2: 32.3 (#212), GPT-5.3 Chat: 38.8 (#140)
| Benchmark | Deepseek Coder v2 | GPT-5.3 Chat |
|---|---|---|
| LMArena Expert | 1181 | 1397 |
| ARC (AI2) Challenge | 64.3% | — |
Multilingual GPT-5.3 Chat leads
Deepseek Coder v2: 36.3 (#240), GPT-5.3 Chat: 50.3 (#124)
| Benchmark | Deepseek Coder v2 | GPT-5.3 Chat |
|---|---|---|
| LMArena Non-English | 1182 | 1382 |
| LMArena Chinese | 1201 | 1432 |
| LMArena French | 1185 | 1397 |
| LMArena German | 1164 | 1384 |
| LMArena Japanese | 1126 | 1352 |
| LMArena Korean | 1104 | 1346 |
| LMArena Russian | 1188 | 1400 |
| LMArena Spanish | 1153 | 1371 |
Instruction Following GPT-5.3 Chat leads
Deepseek Coder v2: 61.7 (#242), GPT-5.3 Chat: 72.8 (#129)
| Benchmark | Deepseek Coder v2 | GPT-5.3 Chat |
|---|---|---|
| LMArena Instruction Following | 1180 | 1378 |
Long Context GPT-5.3 Chat leads
Deepseek Coder v2: 37.0 (#224), GPT-5.3 Chat: 42.6 (#120)
| Benchmark | Deepseek Coder v2 | GPT-5.3 Chat |
|---|---|---|
| LMArena Longer Query | 1219 | 1396 |
Writing & Preference GPT-5.3 Chat leads
Deepseek Coder v2: 38.2 (#253), GPT-5.3 Chat: 63.1 (#68)
| Benchmark | Deepseek Coder v2 | GPT-5.3 Chat |
|---|---|---|
| LMArena Text | 1191 | 1389 |
| LMArena Creative Writing | 1120 | 1355 |
| LMArena Multi-Turn | 1177 | 1412 |
| EQ-Bench Creative Writing | — | 1690 |
Frequently asked questions
Is Deepseek Coder v2 better than GPT-5.3 Chat?
GPT-5.3 Chat is the stronger model overall, scoring 42.8 to 35.9 on the Noometry Index.
Is Deepseek Coder v2 or GPT-5.3 Chat better for coding?
GPT-5.3 Chat scores higher on coding benchmarks: 41.4 versus 38.1 in the Noometry coding category.
How many benchmarks do Deepseek Coder v2 and GPT-5.3 Chat share?
17 benchmarks have published results for both models. Deepseek Coder v2 has 24 scored results on Noometry and GPT-5.3 Chat has 18.